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Cited by in F6Publishing
For: Mohan BP, Facciorusso A, Khan SR, Chandan S, Kassab LL, Gkolfakis P, Tziatzios G, Triantafyllou K, Adler DG. Real-time computer aided colonoscopy versus standard colonoscopy for improving adenoma detection rate: A meta-analysis of randomized-controlled trials. EClinicalMedicine 2020;29-30:100622. [PMID: 33294821 DOI: 10.1016/j.eclinm.2020.100622] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 Minchenberg SB, Walradt T, Glissen Brown JR. Scoping out the future: The application of artificial intelligence to gastrointestinal endoscopy. World J Gastrointest Oncol 2022; 14(5): 989-1001 [DOI: 10.4251/wjgo.v14.i5.989] [Reference Citation Analysis]
2 Deliwala SS, Hamid K, Barbarawi M, Lakshman H, Zayed Y, Kandel P, Malladi S, Singh A, Bachuwa G, Gurvits GE, Chawla S. Artificial intelligence (AI) real-time detection vs. routine colonoscopy for colorectal neoplasia: a meta-analysis and trial sequential analysis. Int J Colorectal Dis 2021. [PMID: 33934173 DOI: 10.1007/s00384-021-03929-3] [Reference Citation Analysis]
3 Chiorean M. Quality assessment in screening colonoscopy: a computer will be watching you. Gastrointestinal Endoscopy 2022. [DOI: 10.1016/j.gie.2022.01.016] [Reference Citation Analysis]